- Model Development: Design, develop, and deploy machine learning models and AI solutions to address complex business problems.
- Data Analysis: Work with large datasets to clean, preprocess, and analyze data, ensuring high data quality and relevance.
- Algorithm Optimization: Implement and refine algorithms to improve the performance and accuracy of AI models.
- Collaboration: Collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to integrate AI solutions into existing systems and workflows.
- Research: Stay up-to-date with the latest advancements in AI and machine learning, and apply new techniques and methodologies to enhance our AI capabilities.
- Performance Monitoring: Monitor the performance of AI systems, troubleshoot issues, and make necessary adjustments to maintain optimal functionality.
- Documentation: Create and maintain comprehensive documentation for AI models, including design specifications, training processes, and deployment strategies.

Required Qualifications:

- Education: B.tech or M.tech or MCA or Bachelor's or master''s degree in Artificial intelligence, computer science or Data Analyst or related fields.
- Experience: Experience in AI/ML development,



with a proven track record of deploying AI solutions in a production workplace.
- IMMEDIATE JOINERS REQUIRED Technical Skills:
- Must have proficiency in programming languages such as Python, Machine Learning, Deep Learning
- Experience with AI/ML frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn, Keras).
- Strong knowledge of machine learning algorithms, neural networks, and natural language processing (NLP).
- Experience in integrating AI based solutions with web frameworks like Django, Flask.
- Problem-Solving: Excellent analytical and problem-solving skills, with the ability to work independently and as part of a team.
- Communication: Strong verbal and written communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
- Project Management: Ability to manage multiple projects simultaneously and meet deadlines in a fast-paced environment.

Preferred Qualifications:

- Experience with reinforcement learning, deep learning, or computer vision.
- Contributions to open-source AI projects or published research in AI/ML.
- Experience with big data technologies (e.g., Hadoop, Spark).

📌 AI/ML Engineer (New Delhi)
🏢 Timble Glance
📍 New Delhi